Simulation of generator protection using Matlab

Sudhakar, Modem; Sahu, Lumesh Kumar

doi:10.1109/icstm.2017.8089205

Cited by 5 publications

(3 citation statements)

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“…Under certain situations like internal faults, the generator has to be quickly isolated (shut down), while problems like loss of field problem requires an "alarm" to alert the operator. Following is a descriptive list of internal faults (or stator and rotor faults) and abnormal operating conditions (Fig 1) [9,17].…”

Section: [A] Different Fault Types On Generatormentioning

confidence: 99%

Overview of Generetor Protection on Power System

Hussen¹,

Ayalew²,

Pasam³

2019

IJEAST

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Generators are the majority source of commercial electrical energy and the most essential and expensive elements in power industry since, it is difficult to replace. It need to protect either by using electrical or mechanical protection devices before any failure is happen on those equipment's since, protecting equipment's from any failure can improve reliability of the system, minimize operating cost and minimize energy or power loss. Under this paper different types of fault on generator such as stator fault, rotor fault and abnormal condition of generator, protection techniques based on (Change in load current, Stator temperature and resistance and Rotor speed) for those faults on generator, protection devices (relay, instrument transformer, circuit breaker and so on), optimization techniques are discussed in detailed and observation and gap seen from the paper, conclusion and recommendation for future researchers are indicated .

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Section: [A] Different Fault Types On Generatormentioning

confidence: 99%

Overview of Generetor Protection on Power System

Hussen¹,

Ayalew²,

Pasam³

2019

IJEAST

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“…stator and rotor current in the d-q axis (𝐼 𝑞𝑠 , 𝐼 𝑑𝑠 , 𝐼 𝑞𝑟 and 𝐼 𝑑𝑟 ). The stator and rotor currents are set as an input as it is the fundamental electrical quantities deviated under abnormal conditions [11]. If an internal stator fault occurs in the generator, the impedance value will change [3,10,12].…”

Section: Introductionmentioning

confidence: 99%

Application of Automated Machine Learning (AutoML) Method in Wind Turbine Fault Detection

Fadzail

Zali

Mid

et al. 2022

J. Phys.: Conf. Ser.

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Fault detection has drew much attention nowadays, as it can save time and operational maintenance costs, especially in the wind turbine (WT) that is becoming familiar with renewable energy. Machine learning became widespread use in fault detection methods. However, most available machine learning needs more data and much time to train. Therefore, there is a need to detect faults using a few data during the training process. This paper aims to apply Automated Machine Learning (AutoML) method for fault detection in WT systems. The fault detection in the WT system focuses on the internal stator fault in the generator as it is the main part of the WT. The AutoML model was developed using a neural network (NN) algorithm in python based on the Auto-Keras model. The model was developed using four inputs, i.e. stator and rotor currents in the d-q axis (Iqs, Ids, Iqr and Idr ) while the outputs are impedance values, i.e. stator resistance, Rs , and stator inductance, Ls . The WT system used in this research is the doubly-fed induction generator (DFIG) in MATLAB/Simulink. In the Auto-Keras model, the impedance values (Rs and L s) indicated the condition of the DFIG, either normal or fault conditions. Two fault types were applied to the WT system, i.e. inter-turn short circuit and open circuit fault. The Auto-Keras model was trained and tested with the various values of data. The accuracy and the root means square error (RMSE) value of the model were calculated. The result shows that the accuracy is high as it is more than 93% in most conditions, and the RMSE value is low, close to the zero value. Applying the AutoML method in fault detection of the WT system shows its capability to identify faults accurately.

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“…Author in [1] evaluated the performance of the F87G of the SEL 300G generator protection relay which was employed to protect the particular low resistance grounded 555MVA generator represented in the real-time simulation model of the RSCAD generic software. Authors in [3] considered the F87G and simulated this function using Simulink. Authors in [4] described the effects of damages in secondary circuits and the influence on disoperation of differential protection Micom P633 of the unit generator-transformer in Simulink.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of a Generator Differential Protection Function for a Numerical Relay

2019

Eng. Technol. Appl. Sci. Res.

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This paper describes the advantages and disadvantages of a generator differential protection relay system which uses double slope characteristics of Areva P343, ABB REG670, SEL300G and GE G60. A Buon Tua Srah Hydropower Plant in Vietnam was selected as an example for the relay setting calculations of these characteristics. The performance of the introduced relay model was tested at various fault conditions in Matlab/Simulink. The results apply to the problems of solving the performance of the relay accurately and with reliable differential protection against internal faults, and keeping the generator stable on all external faults and in normal conditions. The simulation simplifies the process of selecting the relay and protection system. This can improve the quality of the protection system design early, thereby reducing the number of errors found later in the operation.

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Simulation of generator protection using Matlab

Cited by 5 publications

References 0 publications

Overview of Generetor Protection on Power System

Overview of Generetor Protection on Power System

Application of Automated Machine Learning (AutoML) Method in Wind Turbine Fault Detection

Performance Evaluation of a Generator Differential Protection Function for a Numerical Relay

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